Maple Other Operating Expenses from 2010 to 2026
| MFI Stock | CAD 24.57 0.22 0.90% |
Other Operating Expenses | First Reported 1996-03-31 | Previous Quarter 1.2 B | Current Value 949.2 M | Quarterly Volatility 246.5 M |
Check Maple Leaf financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Maple Leaf's main balance sheet or income statement drivers, such as Depreciation And Amortization of 320.2 M, Interest Expense of 196.3 M or Total Revenue of 4.8 B, as well as many indicators such as Price To Sales Ratio of 0.42, Dividend Yield of 0.0327 or PTB Ratio of 2.09. Maple financial statements analysis is a perfect complement when working with Maple Leaf Valuation or Volatility modules.
Maple | Other Operating Expenses |
Latest Maple Leaf's Other Operating Expenses Growth Pattern
Below is the plot of the Other Operating Expenses of Maple Leaf Foods over the last few years. Other Operating Expenses is the expense which generally does not depend on sales or production quantities of Maple Leaf Foods. It is also known as Maple Leaf overhead expenses. Typically these expenses include marketing, rent and utilities, office, leases, and other overhead cost. It is expenses incurred from non-core business activities, including administrative and general expenses, but excluding costs directly related to production. Maple Leaf's Other Operating Expenses historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Maple Leaf's overall financial position and show how it may be relating to other accounts over time.
| Other Operating Expenses | 10 Years Trend |
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Other Operating Expenses |
| Timeline |
Maple Other Operating Expenses Regression Statistics
| Arithmetic Mean | 3,821,319,474 | |
| Geometric Mean | 3,766,656,926 | |
| Coefficient Of Variation | 17.48 | |
| Mean Deviation | 598,054,695 | |
| Median | 3,808,247,000 | |
| Standard Deviation | 667,880,932 | |
| Sample Variance | 446064.9T | |
| Range | 1.9B | |
| R-Value | 0.39 | |
| Mean Square Error | 401811.7T | |
| R-Squared | 0.16 | |
| Significance | 0.12 | |
| Slope | 52,156,058 | |
| Total Sum of Squares | 7137039T |
Maple Other Operating Expenses History
About Maple Leaf Financial Statements
Maple Leaf investors utilize fundamental indicators, such as Other Operating Expenses, to predict how Maple Stock might perform in the future. Analyzing these trends over time helps investors make informed market timing decisions. For further insights, please visit our fundamental analysis page.
| Last Reported | Projected for Next Year | ||
| Other Operating Expenses | 4.1 B | 3.4 B |
Pair Trading with Maple Leaf
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Maple Leaf position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Maple Leaf will appreciate offsetting losses from the drop in the long position's value.Moving together with Maple Stock
Moving against Maple Stock
| 0.77 | ISRG | Intuitive Surgical CDR | PairCorr |
| 0.76 | POW | Power | PairCorr |
| 0.4 | MAXQ | Maritime Launch Services | PairCorr |
The ability to find closely correlated positions to Maple Leaf could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Maple Leaf when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Maple Leaf - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Maple Leaf Foods to buy it.
The correlation of Maple Leaf is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Maple Leaf moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Maple Leaf Foods moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Maple Leaf can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Maple Stock
Maple Leaf financial ratios help investors to determine whether Maple Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Maple with respect to the benefits of owning Maple Leaf security.